The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-10"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "7360239 (up from 7242235 yesterday: 1.63 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "416201 (up from 411436 yesterday: 1.16 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 5.65



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2000464 21053 1.06 112924 935 0.83 5.64
Brazil 772416 32913 4.45 39680 1274 3.32 5.14
Russia 493023 8393 1.73 6350 216 3.52 1.29
United Kingdom 291588 1007 0.35 41213 245 0.60 14.13
India 276583 437 0.16 7745 -5 -0.06 2.80
Spain 242280 314 0.13 27136 0 0.00 11.20
Italy 235763 202 0.09 34114 71 0.21 14.47
Peru 208823 5087 2.50 5903 165 2.88 2.83
France 192068 545 0.28 29322 23 0.08 15.27
Germany 186522 16 0.01 8752 16 0.18 4.69
Iran 177938 2011 1.14 8506 81 0.96 4.78
Turkey 173036 922 0.54 4746 17 0.36 2.74
Chile 148456 5697 3.99 2475 192 8.41 1.67
Mexico 129184 4883 3.93 15357 708 4.83 11.89
Pakistan 113702 0 0.00 2255 0 0.00 1.98
Saudi Arabia 112288 3717 3.42 819 36 4.60 0.73
Canada 98720 479 0.49 8038 68 0.85 8.14
China 84209 11 0.01 4638 0 0.00 5.51
Bangladesh 74865 3190 4.45 1012 37 3.79 1.35
Qatar 73595 1716 2.39 66 4 6.45 0.09
Belgium 59569 132 0.22 9629 10 0.10 16.16
South Africa 55421 2430 4.59 1210 48 4.13 2.18
Belarus 51066 801 1.59 288 6 2.13 0.56
Netherlands 48294 185 0.38 6061 11 0.18 12.55
Sweden 46814 890 1.94 4795 78 1.65 10.24
Ecuador 44440 523 1.19 3720 30 0.81 8.37
Colombia 42206 1359 3.33 1439 66 4.81 3.41
United Arab Emirates 40507 603 1.51 284 1 0.35 0.70
Singapore 38965 451 1.17 25 0 0.00 0.06
Egypt 38284 1455 3.95 1342 36 2.76 3.51
Portugal 35600 294 0.83 1497 5 0.34 4.21
Indonesia 34316 1240 3.75 1959 36 1.87 5.71
Kuwait 33823 683 2.06 275 2 0.73 0.81
Switzerland 31011 23 0.07 1936 2 0.10 6.24
Ukraine 29015 536 1.88 841 23 2.81 2.90
Poland 27842 282 1.02 1206 23 1.94 4.33
Argentina 25987 1226 4.95 735 18 2.51 2.83
Ireland 25231 16 0.06 1695 4 0.24 6.72
Philippines 23732 740 3.22 1027 10 0.98 4.33
Afghanistan 22142 683 3.18 405 21 5.47 1.83
Romania 20945 196 0.94 1360 6 0.44 6.49
Dominican Republic 20808 393 1.93 550 6 1.10 2.64
Oman 18887 689 3.79 84 1 1.20 0.44
Israel 18355 175 0.96 299 0 0.00 1.63
Panama 17889 656 3.81 413 10 2.48 2.31
Japan 17146 35 0.20 922 2 0.22 5.38
Austria 17005 26 0.15 673 1 0.15 3.96
Bahrain 16200 469 2.98 31 2 6.90 0.19
Iraq 15414 1146 8.03 426 34 8.67 2.76
Bolivia 15281 637 4.35 512 25 5.13 3.35
Armenia 14103 428 3.13 227 10 4.61 1.61
Nigeria 13873 409 3.04 382 17 4.66 2.75
Kazakhstan 13319 245 1.87 67 6 9.84 0.50
Denmark 12216 15 0.12 593 0 0.00 4.85
Serbia 12031 66 0.55 251 1 0.40 2.09
Korea, South 11947 45 0.38 276 0 0.00 2.31
Algeria 10484 102 0.98 732 8 1.10 6.98
Moldova 10321 296 2.95 371 6 1.64 3.59
Ghana 10201 0 0.00 48 0 0.00 0.47
Czechia 9824 73 0.75 330 2 0.61 3.36
Cameroon 8681 369 4.44 212 0 0.00 2.44
Norway 8594 18 0.21 239 0 0.00 2.78
Azerbaijan 8530 339 4.14 102 4 4.08 1.20
Morocco 8508 71 0.84 211 1 0.48 2.48
Malaysia 8338 2 0.02 118 1 0.85 1.42
Guatemala 8221 355 4.51 316 27 9.34 3.84
Honduras 7360 425 6.13 290 19 7.01 3.94
Australia 7285 11 0.15 102 0 0.00 1.40
Finland 7040 15 0.21 324 0 0.00 4.60
Sudan 6582 155 2.41 401 12 3.08 6.09

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 380156 674 0.18 30542 84 0.28 8.03 19541.72 1570.00 1 in 51
New Jersey 165346 550 0.33 12377 74 0.60 7.49 18615.45 1393.46 1 in 54
California 139715 3074 2.25 4854 109 2.30 3.47 3535.99 122.85 1 in 283
Illinois 129837 625 0.48 6095 77 1.28 4.69 10246.12 480.99 1 in 98
Massachusetts 104156 267 0.26 7454 46 0.62 7.16 14987.55 1072.59 1 in 67
Pennsylvania 81316 446 0.55 6062 48 0.80 7.45 6351.83 473.52 1 in 157
Texas 80777 2647 3.39 1905 38 2.04 2.36 2785.81 65.70 1 in 359
Florida 67371 1371 2.08 2801 36 1.30 4.16 3136.78 130.41 1 in 319
Michigan 65182 184 0.28 5955 12 0.20 9.14 6526.78 596.28 1 in 153
Maryland 59465 561 0.95 2844 33 1.17 4.78 9835.95 470.42 1 in 102
Georgia 53980 731 1.37 2329 44 1.93 4.31 5084.10 219.36 1 in 197
Virginia 52177 439 0.85 1514 18 1.20 2.90 6112.93 177.38 1 in 164
Connecticut 44347 168 0.38 4120 23 0.56 9.29 12438.55 1155.59 1 in 80
Louisiana 44030 418 0.96 2968 11 0.37 6.74 9471.27 638.45 1 in 106
Ohio 39575 413 1.05 2459 36 1.49 6.21 3385.63 210.37 1 in 295
North Carolina 38473 1246 3.35 1090 22 2.06 2.83 3668.26 103.93 1 in 273
Indiana 38337 304 0.80 2355 16 0.68 6.14 5694.56 349.81 1 in 176
Arizona 29852 1556 5.50 1101 25 2.32 3.69 3920.21 144.59 1 in 255
Minnesota 28869 346 1.21 1267 39 3.18 4.39 5118.95 224.66 1 in 195
Colorado 28484 151 0.53 1572 19 1.22 5.52 4946.22 272.98 1 in 202
Tennessee 27930 355 1.29 437 2 0.46 1.56 4087.41 63.95 1 in 245
Washington 24354 0 0.00 1176 0 0.00 4.83 3198.21 154.43 1 in 313
Iowa 22626 389 1.75 631 5 0.80 2.79 7171.31 200.00 1 in 139
Alabama 21989 567 2.65 744 15 2.06 3.38 4484.64 151.74 1 in 223
Wisconsin 21593 285 1.34 671 10 1.51 3.11 3708.59 115.24 1 in 270
Mississippi 18483 360 1.99 868 21 2.48 4.70 6210.37 291.65 1 in 161
Nebraska 16058 140 0.88 191 2 1.06 1.19 8301.25 98.74 1 in 120
South Carolina 15759 531 3.49 575 7 1.23 3.65 3060.76 111.68 1 in 327
Rhode Island 15756 65 0.41 812 4 0.50 5.15 14873.12 766.50 1 in 67
Missouri 15512 160 1.04 851 6 0.71 5.49 2527.44 138.66 1 in 396
Utah 12864 305 2.43 128 1 0.79 1.00 4012.53 39.93 1 in 249
Kentucky 11883 176 1.50 484 7 1.47 4.07 2659.77 108.33 1 in 376
Kansas 10750 141 1.33 240 3 1.27 2.23 3689.96 82.38 1 in 271
Arkansas 10368 288 2.86 165 4 2.48 1.59 3435.59 54.68 1 in 291
Nevada 10218 173 1.72 449 3 0.67 4.39 3317.36 145.77 1 in 301
Delaware 10056 36 0.36 413 3 0.73 4.11 10326.94 424.13 1 in 97
District of Columbia 9537 63 0.66 499 4 0.81 5.23 13513.30 707.05 1 in 74
New Mexico 9250 145 1.59 410 6 1.49 4.43 4411.42 195.53 1 in 227
Oklahoma 7483 120 1.63 356 2 0.56 4.76 1891.09 89.97 1 in 529
South Dakota 5604 81 1.47 69 1 1.47 1.23 6334.64 78.00 1 in 158
Puerto Rico 5329 144 2.78 143 1 0.70 2.68 1668.60 44.78 1 in 599
New Hampshire 5178 99 1.95 301 15 5.24 5.81 3808.16 221.37 1 in 263
Oregon 5060 72 1.44 169 0 0.00 3.34 1199.70 40.07 1 in 834
Idaho 3260 39 1.21 85 0 0.00 2.61 1819.13 47.43 1 in 550
North Dakota 2941 40 1.38 73 1 1.39 2.48 3859.27 95.79 1 in 259
Maine 2637 31 1.19 100 0 0.00 3.79 1961.74 74.39 1 in 510
West Virginia 2194 25 1.15 85 1 1.19 3.87 1227.66 47.56 1 in 815
Vermont 1095 11 1.01 55 0 0.00 5.02 1754.84 88.14 1 in 570
Wyoming 980 10 1.03 18 1 5.88 1.84 1693.28 31.10 1 in 591
Hawaii 685 3 0.44 17 0 0.00 2.48 483.80 12.01 1 in 2067
Alaska 592 20 3.50 11 0 0.00 1.86 809.25 15.04 1 in 1236
Montana 561 7 1.26 18 0 0.00 3.21 524.90 16.84 1 in 1905

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 2668166 380156 14.25 137155.66
New Jersey 1008934 165346 16.39 113590.68
California 2540798 139715 5.50 64304.10
Illinois 1100726 129837 11.80 86864.07
Massachusetts 672090 104156 15.50 96710.51
Pennsylvania 544430 81316 14.94 42526.99
Texas 1161087 80777 6.96 40043.17
Florida 1279023 67371 5.27 59551.11
Michigan 737335 65182 8.84 73830.54
Maryland 384642 59465 15.46 63622.62
Georgia 570955 53980 9.45 53775.29
Virginia 398364 52177 13.10 46671.33
Connecticut 316913 44347 13.99 88888.50
Louisiana 460120 44030 9.57 98976.21
Ohio 501884 39575 7.89 42936.07
North Carolina 553650 38473 6.95 52788.48
Indiana 320094 38337 11.98 47546.58
Arizona 299687 29852 9.96 39355.38
Minnesota 369795 28869 7.81 65570.77
Colorado 226094 28484 12.60 39261.05
Tennessee 528827 27930 5.28 77391.12
Washington 415054 24354 5.87 54505.56
Iowa 202829 22626 11.16 64286.69
Alabama 273057 21989 8.05 55689.72
Wisconsin 378705 21593 5.70 65042.39
Mississippi 213885 18483 8.64 71866.36
Nebraska 125162 16058 12.83 64703.00
South Carolina 252532 15759 6.24 49047.59
Rhode Island 183622 15756 8.58 173332.79
Missouri 251629 15512 6.16 40999.10
Utah 249760 12864 5.15 77904.95
Kentucky 274414 11883 4.33 61422.13
Kansas 123742 10750 8.69 42474.65
Arkansas 176217 10368 5.88 58392.05
Nevada 187323 10218 5.45 60816.08
Delaware 71745 10056 14.02 73678.02
District of Columbia 58192 9537 16.39 82454.24
New Mexico 241657 9250 3.83 115248.79
Oklahoma 237297 7483 3.15 59969.36
South Dakota 60685 5604 9.23 68597.05
Puerto Rico 5329 5329 100.00 1668.60
New Hampshire 88647 5178 5.84 65195.47
Oregon 156758 5060 3.23 37166.38
Idaho 59052 3260 5.52 32951.93
North Dakota 81660 2941 3.60 107156.64
Maine 63940 2637 4.12 47566.90
West Virginia 117990 2194 1.86 66021.43
Vermont 45742 1095 2.39 73305.78
Wyoming 30852 980 3.18 53307.16
Hawaii 56173 685 1.22 39673.78
Alaska 67720 592 0.87 92571.20
Montana 54616 561 1.03 51101.35

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 94041 3254 3.58 44516 47.34 46087 3438 149 4.53 3.66
Tamil Nadu 36841 1927 5.52 19333 52.48 17182 326 19 6.19 0.88
Delhi 32810 2867 9.57 12245 37.32 19581 984 110 12.59 3.00
Gujarat 21554 510 2.42 14743 68.40 5464 1347 34 2.59 6.25
Uttar Pradesh 11610 275 2.43 6971 60.04 4318 321 20 6.64 2.76
Rajasthan 11600 355 3.16 8569 73.87 2772 259 4 1.57 2.23
Madhya Pradesh 10049 200 2.03 6892 68.58 2730 427 7 1.67 4.25
West Bengal 9328 343 3.82 3779 40.51 5117 432 17 4.10 4.63
State Unassigned 9227 0 0.00 0 0.00 9227 0 0 NaN 0.00
Karnataka 6041 120 2.03 2862 47.38 3108 69 3 4.55 1.14
Bihar 5698 243 4.45 2934 51.49 2730 34 1 3.03 0.60
Haryana 5579 370 7.10 2188 39.22 3339 52 7 15.56 0.93
Andhra Pradesh 5247 218 4.33 2869 54.68 2300 78 1 1.30 1.49
Jammu and Kashmir 4507 161 3.70 1671 37.08 2785 51 3 6.25 1.13
Telangana 4111 191 4.87 1817 44.20 2138 156 8 5.41 3.79
Assam 3286 235 7.70 1249 38.01 2029 5 0 0.00 0.15
Odisha 3250 110 3.50 2282 70.22 957 11 0 0.00 0.34
Punjab 2805 86 3.16 2232 79.57 518 55 0 0.00 1.96
Kerala 2162 65 3.10 905 41.86 1239 18 1 5.88 0.83
Uttarakhand 1562 25 1.63 831 53.20 709 15 2 15.38 0.96
Jharkhand 1551 135 9.53 592 38.17 951 8 0 0.00 0.52
Chhattisgarh 1262 51 4.21 402 31.85 854 6 1 20.00 0.48
Tripura 897 31 3.58 239 26.64 657 1 0 0.00 0.11
Himachal Pradesh 451 14 3.20 250 55.43 191 7 1 16.67 1.55
Goa 387 28 7.80 67 17.31 320 0 0 NaN 0.00
Chandigarh 328 1 0.31 289 88.11 34 5 0 0.00 1.52
Manipur 311 7 2.30 64 20.58 247 0 0 NaN 0.00
Puducherry 144 12 9.09 60 41.67 84 0 0 NaN 0.00
Nagaland 130 2 1.56 22 16.92 108 0 0 NaN 0.00
Ladakh 115 7 6.48 50 43.48 64 1 0 0.00 0.87
Mizoram 102 9 9.68 1 0.98 101 0 0 NaN 0.00
Arunachal Pradesh 61 4 7.02 4 6.56 57 0 0 NaN 0.00
Meghalaya 44 1 2.33 13 29.55 30 1 0 0.00 2.27
Andaman and Nicobar Islands 35 1 2.94 33 94.29 2 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 27 5 22.73 2 7.41 25 0 0 NaN 0.00
Sikkim 13 0 0.00 3 23.08 10 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 845618 90680 99 0.11 10.72 2565 98 17857 16349 18.03
Piemonte 353737 30916 26 0.08 8.74 564 35 3372 3976 12.86
Emilia-Romagna 375278 27970 24 0.09 7.45 228 25 2061 4192 14.99
Veneto 773316 19194 3 0.02 2.48 66 0 965 1961 10.22
Toscana 280491 10148 3 0.03 3.62 40 15 539 1078 10.62
Liguria 121023 9854 20 0.20 8.14 110 3 245 1513 15.35
Lazio 283630 7869 18 0.23 2.77 368 47 2566 770 9.79
Marche 116320 6750 3 0.04 5.80 29 0 947 992 14.70
Campania 223302 4834 1 0.02 2.16 74 2 642 428 8.85
Puglia 138377 4512 0 0.00 3.26 71 4 557 529 11.72
P.A. Trento 97739 4439 0 0.00 4.54 6 1 80 464 10.45
Sicilia 171384 3455 1 0.03 2.02 40 6 853 278 8.05
Friuli Venezia Giulia 152866 3286 2 0.06 2.15 25 1 113 341 10.38
Abruzzo 86082 3266 0 0.00 3.79 83 5 550 453 13.87
P.A. Bolzano 73404 2604 0 0.00 3.55 7 2 94 292 11.21
Umbria 78366 1436 1 0.07 1.83 13 2 28 76 5.29
Sardegna 65175 1361 0 0.00 2.09 9 1 50 131 9.63
Valle d’Aosta 16141 1191 0 0.00 7.38 3 0 6 144 12.09
Calabria 78174 1159 0 0.00 1.48 18 0 54 97 8.37
Molise 17375 439 1 0.23 2.53 0 2 120 23 5.24
Basilicata 33551 400 0 0.00 1.19 1 0 11 27 6.75

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 53341 156 0.29 5081 52 1.03 9.53 6247.72 595.13 1 in 160
Ontario 32936 258 0.79 2552 16 0.63 7.75 2238.74 173.47 1 in 447
Alberta 7276 47 0.65 151 0 0.00 2.08 1648.71 34.22 1 in 607
British Columbia 2680 11 0.41 167 0 0.00 6.23 524.37 32.68 1 in 1907
Nova Scotia 1061 1 0.09 62 0 0.00 5.84 1085.47 63.43 1 in 921
Saskatchewan 658 2 0.30 13 0 0.00 1.98 556.84 11.00 1 in 1796
Manitoba 300 0 0.00 7 0 0.00 2.33 217.78 5.08 1 in 4592
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 151 4 2.72 1 0 0.00 0.66 193.59 1.28 1 in 5166
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1607 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1107 4 0.36
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Shandong 792 7 0.88
Shanghai 684 7 1.02
Jiangsu 653 0 0.00
Beijing 594 9 1.52
Sichuan 582 3 0.52
Chongqing 579 6 1.04
Fujian 360 1 0.28
Hebei 328 6 1.83
Shaanxi 311 3 0.96
Guangxi 254 2 0.79
Inner Mongolia 237 1 0.42
Shanxi 198 0 0.00
Tianjin 195 3 1.54
Yunnan 185 2 1.08
Hainan 170 6 3.53
Jilin 155 2 1.29
Liaoning 149 2 1.34
Guizhou 147 2 1.36
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 6113.89 345.12 1 in 164
Brazil 3690.47 189.58 1 in 271
Russia 3411.92 43.94 1 in 293
United Kingdom 4388.74 620.30 1 in 228
India 206.56 5.78 1 in 4841
Spain 5192.46 581.57 1 in 193
Italy 3898.20 564.05 1 in 257
Peru 6491.23 183.49 1 in 154
France 2867.11 437.71 1 in 349
Germany 2252.95 105.71 1 in 444
Iran 2192.43 104.81 1 in 456
Turkey 2141.27 58.73 1 in 467
Chile 8224.71 137.12 1 in 122
Mexico 999.88 118.86 1 in 1000
Pakistan 577.17 11.45 1 in 1733
Saudi Arabia 3408.86 24.86 1 in 293
Canada 2626.23 213.83 1 in 381
China 60.76 3.35 1 in 16459
Bangladesh NA NA 1 in NA
Qatar 27887.46 25.01 1 in 36

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 208118 21960 10.55
Cook Illinois 83585 4053 4.85
Los Angeles California 67111 2768 4.12
Nassau New York 41015 2151 5.24
Suffolk New York 40464 1941 4.80
Westchester New York 34076 1399 4.11
Philadelphia Pennsylvania 23951 1454 6.07
Middlesex Massachusetts 22889 1725 7.54
Wayne Michigan 21570 2653 12.30
Miami-Dade Florida 20277 784 3.87
Suffolk Massachusetts 19099 936 4.90
Hudson New Jersey 19066 1242 6.51
Bergen New Jersey 18667 1635 8.76
Essex New Jersey 18206 1723 9.46
Prince George’s Maryland 16753 613 3.66
Passaic New Jersey 16524 982 5.94
Union New Jersey 16317 1103 6.76
Middlesex New Jersey 16288 1064 6.53
Fairfield Connecticut 16134 1321 8.19
Harris Texas 15552 267 1.72
Essex Massachusetts 15365 1024 6.66
Maricopa Arizona 15282 519 3.40
Rockland New York 13372 661 4.94
Montgomery Maryland 13124 672 5.12
Dallas Texas 12945 274 2.12
Fairfax Virginia 12746 422 3.31
Providence Rhode Island 11959 0 0.00
New Haven Connecticut 11911 1024 8.60
Worcester Massachusetts 11820 844 7.14
Oakland Michigan 11262 1058 9.39
Hartford Connecticut 10924 1303 11.93
Orange New York 10541 467 4.43
Marion Indiana 10464 634 6.06
Riverside California 9911 372 3.75
Hennepin Minnesota 9674 693 7.16
District of Columbia District of Columbia 9537 499 5.23
Ocean New Jersey 9100 792 8.70
Milwaukee Wisconsin 9096 336 3.69
Lake Illinois 8886 362 4.07
San Diego California 8837 305 3.45
Norfolk Massachusetts 8774 873 9.95
Monmouth New Jersey 8563 652 7.61
King Washington 8529 580 6.80
Plymouth Massachusetts 8418 608 7.22
DuPage Illinois 8255 418 5.06
Broward Florida 8193 349 4.26
Jefferson Louisiana 7971 463 5.81
Clark Nevada 7915 367 4.64
Bristol Massachusetts 7754 487 6.28
Orange California 7737 198 2.56

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc